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Channel

Mr NUB

@Movie_nub

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

42,031subscribers

+9,328 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 31,623–100,000.

Register entry

Telegram ID-1002235914897
TypeChannel
Username@Movie_nub
Created24 June 2024measured — dated from the channel’s first post
First recorded6 August 2026
Last confirmed live17 September 2026
Measurements held33
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/Movie_nub

Topic

Film & TV — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 9 September 2026 and assigned it the closest of 31 fixed categories, at 97% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.

Growth

32,70342,03137,3676 August 2026 — 32,703 subscribers7 August 2026 — 32,907 subscribers8 August 2026 — 33,391 subscribers9 August 2026 — 34,109 subscribers10 August 2026 — 34,340 subscribers11 August 2026 — 34,616 subscribers12 August 2026 — 34,763 subscribers14 August 2026 — 35,186 subscribers15 August 2026 — 35,407 subscribers16 August 2026 — 35,583 subscribers17 August 2026 — 35,699 subscribers18 August 2026 — 35,896 subscribers20 August 2026 — 36,052 subscribers20 August 2026 — 36,264 subscribers22 August 2026 — 36,712 subscribers23 August 2026 — 37,218 subscribers25 August 2026 — 37,520 subscribers26 August 2026 — 37,708 subscribers27 August 2026 — 37,800 subscribers28 August 2026 — 37,934 subscribers28 August 2026 — 38,096 subscribers29 August 2026 — 38,246 subscribers30 August 2026 — 38,407 subscribers31 August 2026 — 38,499 subscribers1 September 2026 — 38,607 subscribers2 September 2026 — 38,675 subscribers3 September 2026 — 38,959 subscribers6 September 2026 — 39,185 subscribers9 September 2026 — 40,013 subscribers12 September 2026 — 40,448 subscribers13 September 2026 — 40,706 subscribers15 September 2026 — 40,906 subscribers17 September 2026 — 42,031 subscribers6 August 202617 September 2026
33 measurements spanning 42 days, net +9,328. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 31,304–43,430 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 33
Measured (UTC)SubscribersChange
17 Sept 2026, 23:3742,031+1,125
15 Sept 2026, 16:1540,906+200
13 Sept 2026, 20:3840,706+258
12 Sept 2026, 03:5840,448+435
9 Sept 2026, 17:5540,013+828
6 Sept 2026, 07:0039,185+226
3 Sept 2026, 22:0238,959+284
2 Sept 2026, 11:5338,675+68
1 Sept 2026, 15:2338,607+108
31 Aug 2026, 15:2938,499+92
30 Aug 2026, 19:0338,407+161
29 Aug 2026, 21:0838,246+150
28 Aug 2026, 23:5338,096+162
28 Aug 2026, 02:5437,934+134
27 Aug 2026, 06:1237,800+92
26 Aug 2026, 04:1237,708+188
25 Aug 2026, 01:1437,520+302
23 Aug 2026, 11:3437,218+506
22 Aug 2026, 00:5936,712+448
20 Aug 2026, 22:0636,264first reading

Engagement

3 posts held, back to 24 June 2024the reader has reached the start of this channel’s public history, so this is the full archive Telegram still exposes. Read across 86 pages of Telegram’s post history, 20 posts per page.

Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 3 posts for this entry, the most recent from 25 June 2024. An engagement rate over an empty window would be a number about nothing.

What this channel posts

Links
1

Lifetime counters from Telegram’s own channel header, read 22 September 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.

Reaction mix

6,740 reactions across 2 posts, in 13 distinct kinds. The most used accounts for 33.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
2,25733.5%
👍1,28019.0%
👎74111.0%
🤬6038.95%
😁3805.64%
👏3385.01%
🖕2704.01%
👌2523.74%
🥰1852.74%
🔥1812.69%
💩1352.00%
💅871.29%
🙏310.46%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 2 of the 3 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 6,740 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 3 most recent posts we hold, published 24 June 2024 to 25 June 2024, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

25 Jun 2024, 15:01 UTC≈572,000 views3,144 reactionsread 22 September 2026

فیلما رو تو چنل خصوصی زدیم تا فیلتر نشیم:)

👍875647🤬492👎364👌172💩135🖕134👏129

25 Jun 2024, 15:01 UTC≈581,000 views3,596 reactionsread 22 September 2026

✅ چنل اصلی مووی ناب👇 https://t.me/+SNiAOJYE4mc3MDZk ✅ چنل آرشیو مووی ناب👇 https://t.me/+GXeuX-muquUxMTRk ✅ چنل فیلم سینمایی ناب 👇 https://t.me/+RJs8gkNRQcZmMmZk ✅ چنل فیلم و سریال ایرانی ناب👇 https://t.me/+f0TT75FjC0pjY2U0 ✅ چنل فیلم و سریال کره ای ناب👇 https://t.me/+4ga2HoMTqDYyOWU0 ✅ چنل سریال ناب 👇 https://t.me/+2EJajPSOnHBjNDU8 ✅ چنل انیمیشن ناب 👇 https://t.me/+J818jY3nVp9jMzBk ✅ چنل هندی ناب 👇 https://t.m

1,610👍405😁380👎377👏209🖕136🥰131🔥126

Showing the 3 most recent of 3 posts we hold for @Movie_nub. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Mentions

Named by 1,969 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it. The 24 listed below are the most frequent namers; the rest are counted above but not each listed.

Named by

Channels on the register whose posts name this channel's handle.

فیلم و سریال هندی ناب
@Bollywood_nub · 49,430
360 posts
فیلم و سریال ترکیه ای ناب
@torkiye_nub · 50,176
348 posts
فیلم سینمایی ناب
@sinama_nub · 71,708
312 posts
انیمیشن ناب
@Animation_nub · 53,034
287 posts
سریال ناب
@Series_nub · 58,036
284 posts
فیلم و سریال ایرانی ناب
@filmirani_nub · 59,004
257 posts
فیلم و سریال کره ای ناب
@korea_nub · 58,125
247 posts
🔥 Archive Movie nub | آرشیو مووی ناب 🔥
@archive_nub1 · 573,561
133 posts
سریال وحشی فصل دوم
@vahshi2nub · 1,342
8 posts
فیلم ترکی رجب ایودیک
@torkiye_nub201172 · 445
7 posts
فیلم ترکی سجین Siccin
@torkiye_nub83 · 328
7 posts
سریال ایرانی زخم کاری
@filmirani_nub299 · 366
4 posts
سریال ایرانی زیر خاکی
@filmirani_nub463 · 235
4 posts
MEDICAL NUB | مدیکال ناب
@medical_nub · 19,573
4 posts
فیلم ترکی سه حرفی ها
@torkiye_nub28 · 200
4 posts
فیلم ترکی برزخ
@torkiye_nub31 · 107
4 posts
سریال ایرانی سرزمین مادری
@filmirani_nub319 · 192
3 posts
رئالیتی شو ایرانی پدرخوانده
@filmirani_nub465 · 148
3 posts
فیلم ترکی اسرار و آیات
@torkiye_nub29 · 138
3 posts
فیلم ایرانی چرا گریه نمیکنی
@filmirani_nub340 · 222
2 posts
The Blacklist سریال لیست سیاه
@TheBlacklistnub · 443
2 posts
فیلم ترکی استاد ما یک و دو
@torkiye_nub20180 · 6
2 posts
فیلم ترکی به اندازه شوهرت حرف بزن یک و دو
@torkiye_nub20205 · 21
2 posts
فیلم ترکی همیشه یک
@torkiye_nub55 · 136
2 posts

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 17 September 2026 — this entry's latest reading, not the date you are reading this.

“Mr NUB” (@Movie_nub), 42,031 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/Movie_nub.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.